Scholars have extensively studied representations of race, gender, body, and size in visual imagery circulating in the fashion system. Studies examining fashion magazines reported a significant lack of racial diversity (Fowler & Carlson, 2015;Mayo, Mayo, & Mahdi, 2005) and a higher number of women than men in stereotypical or passive positions (Stankiewicz & Rosselli, 2008). Sypeck, Gray, and Ahrens (2004) found a decrease in body size from the 1980s to the 1990s in magazines, while Luff and Gray (2009) found an increase in the body size of models from 1956 to 2005. Scholars looking more critically at people of color found more light-skinned than dark-skinned models in Ebony magazine, a publication targeted towards African American women (Keenan, 1996); however, Mayo, Mayo, & Mahdi (2005) analyzed Vogue, and found nearly half of the ads featuring African Americans were dark-skinned women.We argue that textbooks in the textile and apparel discipline are a part of an extension of the fashion system in that the future fashion and beauty producers (i.e. fashion students) utilize theses texts throughout the formative years of their college education. Reddy-Best and Kane (2015) were the first to critically analyze design and merchandising textbooks, and found a majority of White individuals, more women in passive positions than men, and an increase in women's body sizes over time. Our study extends Reddy-Best and Kane's (2015) study and examines representations of gender, race, and the body in fashion illustration textbooks in the 21 st century, as they did not examine these texts in their sample. We asked (a) what body sizes are present?, (b) do the illustrations have diverse racial representation?, (c) and how are bodies positioned?. This study is informed by intersectionality theory, in that we are critically examining multiple subject positions (race, gender, body size) in relation to systems of oppression or discrimination (Shields, 2008). Intersectionality theory informed our research questions, the coding categories, and our analysis of the data.We used the visual content analysis method, and examined 14 books published between 2006 and 2013. In total, we coded 3622 individuals in seven categories: gender (man, woman, or gender neutral), race (Black, White, Asian, other person of color, or indistinguishable) skin color (1-10), hair texture of Black people (straight, natural, dreadlocks, braids, or bald), body size (1-9), body position (open, closed off, active, mixed, or neutral), eye gaze (at self, at another model, at reader, at unknown, at activity, or none), and provocative (yes or no). We coded skin tone using the NIS Skin Color Scale where 1 was the lightest and 10 was the darkest. Body size was determined using a visual body scale from 1-9, where 1 was the smallest and 9 was the largest, and eye gaze was coded using an adaption of Goffman's (1979) scale. We created a codebook and continually refined each code as the coding process unfolded. An intercoder reliability of 92% was reached after we coded 20%-...